Introduction to Data Science
by Jeffrey Stanton
Number of pages: 196
This book provides non-technical readers with a gentle introduction to essential concepts and activities of data science. For more technical readers, the book provides explanations and code for a range of interesting applications using the open source R language for statistical computing and graphics.
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by Kikuo Asai - InTech
The book consists of 20 chapters, each addressing a certain aspect of human-computer interaction. It gives the reader background information on a subject and proposes a solution. This should serve as a valuable tool for professionals in this field.
by David Novak - The Spire Project
In this book, we shall gather a collection of search techniques that extend our ability to collect and appreciate internet information. This will include the use of field searches, an understanding of the influences of context, format and source.
by Michael J. Kurtz, Johan Bollen - arXiv
Scholarly usage data provides unique opportunities to address the known shortcomings of citation analysis. This article provides a review of the state-of-the-art in usage-based informetric, i.e. the use of usage data to study the scholarly process.
by Dennis Hart, Shirley Gregor - ANU Press
The focus of the volume is on the foundations of Information Systems as an academic discipline. The chapters in the book provide a critical examination of current design science ideas, with the role of human creativity given special mention.